How Grepr uses continuous pattern extraction and AI to detect anomalies and build monitoring strategies to prevent failures.
Every AI conversation at the summit dragged a cost conversation behind it, and most teams already knew which one was winning.
Grepr's free tier is live: perpetual, no credit card, 4 TB of logs and 8 TB of traces a month to run on your own data.
Grepr's SQL transform enables real-time redaction of sensitive data like passwords from log events before they reach your data lake or monitoring platform, using familiar SQL syntax within your log processing pipeline.
Across KubeCon, AWS re:Invent, and Gartner's IT Infrastructure conference, one message was consistent: observability costs are rising faster than value, and teams need high-signal data that supports AI scale, infrastructure decisions, and budget accountability.
Live View clones your production pipeline so you can test configuration changes against real data streams without any deployment risk.
Grepr was recognized by Gartner as a Cool Vendor in AI for IT Operations for its ability to give AI driven systems cleaner signal, lower cost, and real-time pattern detection that powers advanced LLM workflows.
Grepr cuts Grafana Cloud log costs by up to ninety percent through a simple configuration change that redirects your existing shippers to use semantic machine learning for automatic pattern aggregation while preserving all raw data in low cost storage.
Grok lets teams fill the gaps when automatic field detection misses something, giving Grepr a simple way to extract key details from unstructured logs and keep data accurate.
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